Sentiment-por-Mozetic
Task Identifier: sentiment-2016-mozetic-por
Cluster: Sentiment Analysis
Data Type: por
Score Metric: Macro-F1
Paper/GitHub/Website URL: N/A


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
57.2246
2
Finetuned LMs mBERT
57.1444
3
Finetuned LMs TwHIN-BERT
57.0385
4
Finetuned LMs InfoDCL
56.709
5
Finetuned LMs XLM-Twitter
56.4476
6
Finetuned LMs Bernice
56.3676
7
Finetuned LMs XLM-RoBERTa-Base
56.2061
8
Zero-shot Chatgpt
44.5956
9
Zero-shot Chatgpt with translated prompts
42.761
10
three-shot in-context learning BLOOM-7B
41.2892
11
Zero-shot Bactrian-BLOOM
34.7821
12
five-shot in-context learning Vicuna-7B
33.9366
13
five-shot in-context learning BLOOM-7B
32.2413
14
Zero-shot BLOOM-7B
32.204
15
Zero-shot LLaMA-7B
31.484
16
three-shot in-context learning LLaMA-7B
29.8441
17
Baseline Random
29.8085
18
five-shot in-context learning LLaMA-7B
28.6031
19
three-shot in-context learning BLOOMZ-P3-7B
27.9559
20
Zero-shot BLOOMZ-P3-7B
27.6465
21
Zero-shot Alpaca-7B
26.5869
22
five-shot in-context learning BLOOMZ-P3-7B
26.4084
23
Zero-shot BLOOMZ-7B
26.2196
24
five-shot in-context learning mT5-XL
24.9661
25
three-shot in-context learning Vicuna-7B
24.4609
26
Zero-shot Bactrian-LLaMA-7B
24.1745
27
three-shot in-context learning mT5-XL
23.3495
28
three-shot in-context learning mT0-XL
20.1828
29
Zero-shot Vicuna-7B
18.9357
30
five-shot in-context learning mT0-XL
18.8284
31
Baseline Majority
18.7427
32
Zero-shot mT5-XL
18.2171
33
Zero-shot mT0-XL
18.0285